DEVELOPMENT... OpenML
Run
38127

Run 38127

Task 3800 (Supervised Classification) fri_c3_500_50 Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9255
Per class
Build CPU time
3.1952
Build memory
862556380.8
F measure
0.8617
Per class
Kappa
0.7184
KB relative information score
362.7791
Mean absolute error
0.1335
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8618
Per class
Predictive accuracy
0.862
Prior entropy
0.9882
Recall
0.862
Per class
Relative absolute error
0.2715
Root mean prior squared error
0.4959
Root mean squared error
0.3515
Root relative squared error
0.7088
SciMark benchmark
938.4414